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Benchmarking a universal smoking machine adaptor for tobacco product testing.

Ahmad El HellaniClifford H WatsonMichelle HuangClark W WilsonClint C FleshmanHang TranDana ChafinMegan McGuiganRoberto Bravo CardenasRyan PetittiMary PancakeChad BennettDarren MaysBrittney L Keller-HamiltonJeremy JonesWei YeJason SchaffRobert P BorthwickRaymond L WilliamsonTheodore L WagenerMarielle C Brinkman
Published in: Tobacco control (2024)
The USMA seals well with a variety of combustible tobacco products, e-cigarettes with differing geometries and plastic-tipped cigarillos. Variability for all measures was similar or smaller for the USMA compared with other adaptors.
Keyphrases
  • smoking cessation
  • deep learning
  • machine learning